ML/Research Engineer, Safeguards

We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. This work feeds directly into Anthropic's Responsible Scaling Policy commitments.

• Develop classifiers to detect misuse and anomalous behavior at scale, including synthetic data pipelines and methods to automatically source representative evaluations.
• Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts.
• Evaluate and improve the safety of agentic products—developing threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks.
• Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse.

You may be a good fit if you have 4+ years of experience in ML engineering, research engineering, or applied research, proficiency in Python and experience building ML systems, are comfortable working across the research-to-deployment pipeline, are worried about misuse risks of AI systems, and have strong communication skills. Strong candidates may also have experience with language modeling and transformers, building classifiers, anomaly detection, adversarial ML, interpretability, reinforcement learning, and high-performance large-scale ML systems.

Annual Salary: $350,000—$500,000 USD.

Location: San Francisco, CA | New York City, NY. Currently, we expect all staff to be in one of our offices at least 25% of the time.